This document proposes a platform for local data management and analytics in research campuses and labs. It suggests deploying Data Transfer Nodes (DTNs) with high-speed storage and networking close to where data is generated, in order to facilitate data movement and enable local exploration, preprocessing, and computing. The DTNs would provide tools like Jupyter notebooks powered by Apache Spark to analyze data locally before transferring it to larger Compute Canada systems. Two pilot sites will test this model in the summer.